A more general approach was proposed by [1]}, called Sensitivity-\(n\) . This metric is computed by removing a number of random subsets of \(n\)  pixels from the image, and measuring the correlation of the difference in output with the sum of attribution values of those removed pixels. This allows one to assess the accuracy of the attribution values in general, rather than just the top most important features.
